A Two-Tier Full-Information Item Factor Analysis Model with Applications

Autor/in	Cai, Li
Titel	A Two-Tier Full-Information Item Factor Analysis Model with Applications
Quelle	In: Psychometrika, 75 (2010) 4, S.581-612 (32 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0033-3123
DOI	10.1007/s11336-010-9178-0
Schlagwörter	Educational Assessment; Public Health; Quality of Life; Measures (Individuals); Factor Analysis; Item Response Theory; Models; Mathematics; Simulation; Longitudinal Studies; Computation; Multidimensional Scaling; Evaluation + Suchen Sie Ihr Suchwort? Education; assessment; Bewertungssystem; Gesundheitswesen; Lebensqualität; Messdaten; Faktorenanalyse; Item-Response-Theorie; Analogiemodell; Mathematik; Simulation program; Simulationsprogramm; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Mehrdimensionale Analysis; Evaluierung
Abstract	Motivated by Gibbons et al.'s (Appl. Psychol. Meas. 31:4-19, "2007") full-information maximum marginal likelihood item bifactor analysis for polytomous data, and Rijmen, Vansteelandt, and De Boeck's (Psychometrika 73:167-182, "2008") work on constructing computationally efficient estimation algorithms for latent variable models, a two-tier item factor analysis model is developed in this research. The modeling framework subsumes standard multidimensional IRT models, bifactor IRT models, and testlet response theory models as special cases. Features of the model lead to a reduction in the dimensionality of the latent variable space, and consequently significant computational savings. An EM algorithm for full-information maximum marginal likelihood estimation is developed. Simulations and real data demonstrations confirm the accuracy and efficiency of the proposed methods. Three real data sets from a large-scale educational assessment, a longitudinal public health survey, and a scale development study measuring patient reported quality of life outcomes are analyzed as illustrations of the model's broad range of applicability. (Contains 7 tables and 5 figures.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10